Digital Commons Network^™

Paidar: Private Sector Allied For Inclusive Delivery Of Accessible Reproductive Health, Population Council Pakistan

Sexual and Reproductive Health, Rights, and Choices

Pakistan continues to face critical challenges in increasing contraceptive use and reducing the unmet need for family planning (FP). While public-sector facilities remain key providers, a substantial proportion of healthcare seekers rely on private family physicians as their initial point of contact.

Recognizing this strategic opportunity, the PAIDAR study was designed to strengthen the role of private- sector male family physicians in FP service delivery. Implemented across six diverse districts of Punjab, supported by Health Care Commission Punjab and Department of Health and Population Punjab, the intervention enhanced providers' capacity to deliver quality FP counselling, contraceptive services, structured referrals, and …

Making Better Use Of Data For Improved Health Service Delivery In Punjab: Transforming Data Into Action Evidence, Population Council Pakistan

Sexual and Reproductive Health, Rights, and Choices

Strong health systems depend not only on collecting data, but on using it effectively for planning, monitoring, and decision-making. To strengthen evidence-based management across Punjab's health sector, the Population Council partnered with the Health and Population Department, Punjab, particularly the Health Information and Service Delivery Unit (HISDU), to improve the utilization of routine health information. This brief summarizes the collaboration's focus on three complementary areas: (1) Development of the ASET (Analytics for Service Efficiency and Tracking) platform to transform routine data into actionable information; (2) Strengthening the Capacity of Data Users through specialized training in data analytics, visualization, and use …

Table Tennis Training Instrument (Ping Pongers), Derick Alvarado, Peter Sandberg, Andrew Wong

Mechanical Engineering Senior Theses

Table Tennis is an extremely popular sport worldwide, boasting an extensive market. However, it is a sport that generally requires other people to both play and practice with. The goal of this project was to create a machine that would serve table tennis balls for the purpose of individual practice. The machine was meant to fill the niche that other machines of the same type filled by allowing individuals to practice on their own without the assistance of another player or a coach. The main goal of the project was to offer a market competitive device, sharing the same basic …

Dynamism By Design: The Zoom Effects In Short Video Tourism Marketing, Lujun Su, Yuxi Yang, Songshan (Sam) Huang, Xuehuan He

Research outputs 2022 to 2026

As tourism short videos have become central to destination marketing, camera zoom motion stands out as a simple yet powerful tool. However, theory-driven guidance on when and how to deploy zoom effects remains limited. Drawing on construal level theory, this research examines how zoom motions (zoom-in vs. zoom-out) interact with visual content to affect tourists’ responses. Five main studies across eastern and western cultures demonstrate significant interaction effects between zoom motion and visual content. Specifically, for activity-centric content, zoom-in motion enhances persuasiveness by eliciting objective mental imagery; for site-centric content, zoom-out motion proves more effective, as it evokes feelings-based mental …

Aviation Accident Investigation Analysis Methodologies Used By 12 Government Safety Investigation Authorities, Kym Bills, Leesa Costello, Marcus Cattani

Research outputs 2022 to 2026

Introduction: Leading government Safety Investigation Authorities (SIAs) that investigate major aviation accidents are members of the International Transportation Safety Association (ITSA). Investigation analysis methodology details are rarely included on SIA websites, in final accident reports, shared with peers, or specified by the International Civil Aviation Organization (ICAO). Some ‘New View’ safety researchers assume SIAs don't use systemic methodologies and that accident investigation has little value. Because of the sensitivity of SIA work and need to prioritize safety value from available investigation funding, there has been little academic research on choice and use of investigation analysis methodologies to address these issues …

Approach–Avoidance Motivation And Goal Adaptation In Chronic Pain: Predicting Pain Intensity And Interference, Paria Eshraghi, Deirdre Drake, Joanne Iddon, Joanne M. Dickson

Research outputs 2022 to 2026

Chronic pain is a major public health concern associated with disability, reduced functioning and psychological distress. Compared with biological studies, relatively little research has studied chronic pain from a psychological perspective, specifically motivation. Yet, motivation is considered fundamental to human functioning and drives human behaviour. The present study aimed to investigate whether distinct motivational and adaptive goal processes are implicated in chronic pain. The sample comprised 190 adult community participants who reported chronic pain for 3 months or more. Participants completed self-report measures of approach and avoidance motivation, adaptive goal processes, pain intensity, and interference. As hypothesised, avoidance motivation (but …

Evidence For Direct And Sleep-Moderated Relationships Between Aquaporin-4 Genetic Variants And Alzheimer's Disease Phenotypes, Tenielle Porter, Ayeisha Milligan Armstrong, Eleanor K. O'Brien, Vincent Doré, Pierrick Bourgeat, Mitchell Turner, Paul Maruff, Christopher C. Rowe, Belinda M. Brown, Victor L. Villemagne, Stephanie R. Rainey-Smith, Simon M. Laws

Research outputs 2022 to 2026

Introduction: Variants in the aquaporin-4 gene (AQP4) have been associated with Alzheimer's disease (AD) diagnosis, cognition, and brain amyloid beta (Aβ) and may affect the sleep and Aβ relationship. Their association with other AD-related phenotypes/disease progression remain largely unknown. Methods: Associations between AQP4 variants, self-reported sleep measures, and AD-related phenotypes in cognitively unimpaired individuals with evidence of Aβ accumulation were examined using data from the Australian Imaging, Biomarkers and Lifestyle study. Results: AQP4 variants were directly associated with regional brain volumes, atrophy, and cognition. They were also associated with differences in regional brain volumes and atrophy in interaction with sleep …

From Thin Films To Energy Systems: A Perspective-Oriented Translational Framework For Deployable Functional Materials, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

The translation of high-performance thin-film materials from lab-scale development to field-deployable energy systems remains a significant holdup in sustainable technology development. The real-world impact of functional thin films, nanocomposites, and emerging photovoltaic architectures is often limited by issues with scalability, interfacial reliability, environmental stability, and system-level integration, despite their excellent optical and electronic performance at the device level. A translational framework that is deployment-oriented and systematically connects interface-centric device integration, application-context validation, system-level performance feedback, and process-aware thin-film engineering has been presented in this article. Common structure-property-deployment trade-offs are identified through a comparative analysis of representative case domains, such as …

Georoad-Upernet: Geo-1-Based Weakly Supervised Multispectral Road Extraction Via Role-Aware Context Fusion And Semantic Regularization, Shaoqian Chen, Yunliang Chen, Jianxin Li, Ao Yang

Research outputs 2022 to 2026

Extracting roads accurately from remote sensing images is important for map updates, traffic analysis, and infrastructure monitoring. Medium-resolution multispectral images can provide useful surface and background information, but when used alone, the spatial details are limited for retaining narrow roads, intersection structures, and fine road topologies. To address this problem, this paper proposes GeoRoad-UPerNet, a Geo-1-centered weakly supervised multispectral framework for road extraction. In this framework, Geo-1 serves as the primary 16-band multispectral source, Sentinel-2 Level-2A imagery serves as auxiliary contextual support, and OpenStreetMap (OSM) road information is converted into proxy supervision rather than dense manual ground truth. GeoRoad-UPerNet contains …

Optimizing Fpga And Wafer Test Coverage With Spatial Sampling And Machine Learning: Analysis Of Local Spatial Consistency, Weiquan Wang, K. M.Shahriar Alam Adib, Foisal Ahmed, Riaz Ul Haque Mian

Research outputs 2022 to 2026

Wafer and FPGA testing remains costly in semiconductor manufacturing. This paper studies random sampling, stratified sampling, and k-means sampling under a partial-measurement setting with Gaussian Process Regression (GPR), and introduces Short Distance Elimination (SDE), a spatial screening rule that spreads selected training points over the layout. Combining value-based sampling with SDE yields two hybrid methods: S-SDE, which applies SDE within stratified subsets, and K-SDE, which applies SDE within k-means clusters. A calibration-based protocol fixes the value-group labels and SDE thresholds before target-file prediction. The SDE thresholds are selected from (Formula presented.) configurations in (Formula presented.), excluding (Formula presented.), using local …

Sporadic Appetites: Unearthing The Fungal Diets Of Two Mycophagous Mammals Across An Australian Climate Gradient, Rebecca J. Quah, Saul J. Cowen, Robert A. Davis, Harriet R. Mills, Anna J.M. Hopkins

Research outputs 2022 to 2026

Translocating threatened ecosystem engineers may offer the dual benefit of contributing to species conservation and ecosystem restoration. Boodies (burrowing bettong; Bettongia lesueur) and woylies (brush-tailed bettong; Bettongia ogilbyi) are threatened mycophagous marsupials known for their crucial role in ecosystem health through fungal dispersal and bioturbation. As part of restoration efforts across Australia, these bettong species are frequently targeted for translocations, where a better understanding of their fungal dietary requirements is essential for ensuring their resource requirements are met and in predicting their ecological contributions to recipient ecosystems. Here, we used DNA metabarcoding to study the fungal diets of boodies and …

The Effect Of Boosting Dietary Lactobacillus And Phytochemical Rich Foods On Biomarkers Of Longevity—A Phase Ii Randomised Placebo Controlled Trial, Robert J. Thomas, Madeleine Williams, Jeffrey W.F. Aldous, Stacey A. Kenfield, Robert U. Newton

Research outputs 2022 to 2026

As men age, systemic inflammation increases, whereas grip strength (GS) and testosterone levels tend to fall. This rate of decline is known to be influenced by gut microbial health, lifestyle and diet but the role for interventions to slow this decline are less well established. This double-blind randomised controlled trial evaluated the impact, and explored the synergistic potential, of boosting phytochemical rich foods and Lactobacillus probiotics on these physical and biological markers. Two hundred and eight men with untreated early prostate cancer managed with observation only (average age 74 years) received a phytochemical rich supplement (PRS) containing concentrated broccoli, green …

The Life Study: A Cross-Sectional Study Protocol For Lifestyle Risk Factors For Chronic Disease Across The Stages Of Reproductive Ageing, Laura E. Pernoud, Jamie L. Noll, Paul A. Gardiner, Melinda Dean, Kathryn M. Broadhouse, Meegan Anne Walker, Hattie H. Wright, Anthony Villani, Joseph Scott, Alexandra P. Metse, Mia A. Schaumberg

Research outputs 2022 to 2026

Introduction: The dynamic physiological and hormonal changes through the menopause transition predispose women to an increased risk of chronic diseases including cardiovascular disease, metabolic disease, depression and dementia. The underlying mechanisms remain unclear, yet it is thought that chronic systemic inflammation and changes to lifestyle behaviours play important roles. The LIfestyle risk Factors for chronic disease across the stagEs of reproductive ageing (LIFE study) is a cross-sectional study aimed to characterise how hormonal and lifestyle (physical activity, diet and sleep) differences across pre, peri and postmenopause influence chronic systemic inflammation, visceral adiposity, cognitive function and sleep health. Methods and analysis: …

Social Relationships, Mental Health, And Stigma: A Qualitative Study Of Social Networks And Hiv Disclosure In Western Kenya, Sarah Obatsa, Adel Mburia-Mwalili, Salvador Jauregui, Karla Wagner, Lukoye Atwoli, Francesca Odhiambo, Jayne Lewis-Kulzer, Suzanne Goodrich, Kara Wools-Kaloustian, Jennifer Syvertsen

Internal Medicine, East Africa

The disclosure of one’s HIV-positive status is a personal decision that can play an important role in engagement in HIV treatment and care. Social network approaches situate individuals within broader webs of social connections that influence health and wellbeing and thus hold the potential to elucidate key social factors shaping the process of disclosure. As part of a larger clinical study examining how substance use and mental health shape HIV outcomes, we recruited 61 individuals newly diagnosed with HIV at two clinics in Western Kenya to participate in an egocentric social networks study. We conducted a survey that generated a …

Social Media Is A Juggernaut: Lagged Correlation Analysis Using Ngram Data On “Internet” And “Social Media” With Amplification By The Advent Of The “Iphone”, William Zywiak, Gao Niu, Nicolas Petrell, Victoria Nichele, Kirsten Hokeness

Mathematics and Economics Faculty Journal Articles

The amount of new information transmitted per day can be overwhelming. The data available through Ngram Viewer allows statistical examination to determine the most salient topics, as well as lagged correlation and lagged variance to support possible causal connections between concepts. Using this database, we determined that COVID, crypto, microplastics, and especially social media are important topics of the last few years. We also present results that suggest the development of the internet and the iPhone fueled the prominence of social media, and the access of the iPhone also increased access to the internet.

Integrating Multi-Scale And Multi-Filtration Topological Features For Medical Image Classification, Pengfei Gu, Huimin Li, Haoteng Tang, Dongkuan Xu, Erik Enriquez, Dongchul Kim, Bin Fu, Danny Z. Chen

Computer Science Faculty Publications

Modern deep neural networks have shown remarkable performance in medical image classification. However, such networks either emphasize pixel-intensity features instead of fundamental anatomical structures (e.g., those encoded by topological invariants), or they capture only simple topological features via single-parameter persistence. In this paper, we propose a new topology-guided classification framework that extracts multi-scale and multi-filtration persistent topological features and integrates them into vision classification backbones. For an input image, we first compute cubical persistence diagrams (PDs) across multiple image resolutions/scales. We then develop a "vineyard" algorithm that consolidates these PDs into a single, stable diagram capturing signatures at varying granularities, …

The Impact Of New York's 2026 Climate Law Retreat, Jonathan A. Binder, Vincent M. Nolette

Sabin Center for Climate Change Law

On May 26, 2026, New York State enacted significant revisions to its 2019 Climate Leadership and Community Protection Act (CLCPA). The 2026 Amendments, which include changes to the greenhouse gas (GHG) emission accounting methodology, the statewide GHG emission limits, and the requirement to adopt implementing regulations, collectively weaken the Act's ambition. New York’s retreat from state climate action after championing it for years reflects a broader national trend of de-prioritizing mitigation efforts.

The 2026 Amendments will have vast and important consequences for the implementation of the CLCPA. Numerous actions will need to be updated through rulemaking, guidance, or other administrative …

Mitigating Disparities In Diagnosis Of Dementia, Lycia Tramujas Vasconcellos Neumann, Simin Mahinrad, Erin L. Abner, Soo Borson, Goldie S. Byrd, Maria Carrillo, Lindsay Clark, Anthony N. Correro Ii, Kacie D. Deters, Gladys E. Maestre

School of Medicine Publications

The field of Alzheimer's disease and related dementias (AD/ADRD) is undergoing a transformative shift with a better understanding of disease biology, biomarker-based diagnostics, and disease-modifying therapies. Yet, these advancements risk exacerbating existing disparities in diagnosis and care. The 2024 Alzheimer's Association International Conference (AAIC) Advancements: Exploring Equity in Diagnosis convened interdisciplinary experts to address these inequities and chart a path toward population-generalizable research and practice. This article synthesizes key insights from the conference, highlighting considerations for inclusive and representative research design, ethical approaches in diagnostic disclosure, as well as challenges and solutions at individual, community, and systemic levels to advance …

Cut And Cultivate: Process And Practice, Kailey Atkinson

Master of Fine Arts in Visual Arts

Using a candy-coated, flower-ridden, bright palette and maximalist sense of composition, my artwork builds community through narrative collage, photography, painting, sculpture, poetry, and social practice. Through a feminist lens, these bright works explore body image, gender roles, and social issues. Obsessively collecting and repurposing an archive of vintage imagery, my work draws parallels between traditional and contemporary topics through the language of collage and redaction.  My nascent social practice has led me to engage with narratives outside my own experience and offer my process as a healing modality to other women.

In a tumultuous political climate where art can serve …

Darkness Seen By Candlelight: Painting To Discover Feeling, Shelby Feltoon

Master of Fine Arts in Visual Arts

This thesis discusses the ways that a phenomenological experience can translate itself through the medium of painting. This translation evokes deep feelings through physical considerations of materiality, light, context, distance, and time. Through a series of intimate and abstracted oil paintings created in thin layers, the work conveys an interdependent relationship between light and darkness. This project draws from research on art movements like Suprematism, Minimalism, and Expressionism, as well as larger practices and philosophies about photography and the sublime. The body of work draws direct reference to Junichiro Tanazaki’s essay In Praise of Shadows. Ultimately, the work described …

Determinants Of Extended Postanesthesia Care Unit Stay, Jonathan Vaughn

Nursing Publications

Frustration is a common emotion felt by up to 70% of workers in high-stress environments.1 As a Certified Registered Nurse Anesthetist, I can attest to the postanesthesia care unit (PACU) as being a high-stress environment. The PACU Registered Nurses and staff provide expert care to postoperative patients. The PACU offers postoperative patients a safe recovery from anesthesia through monitoring and stabilization, as well as pain and symptom management through prevention and early intervention. It prepares patients for timely discharge or transfer.2 At times, some patients may experience adverse effects in the PACU, resulting in a longer than 90-minute length of …

Skinclusive Ai: Towards Equitable Skin Cancer Detection For Deployment On Edge Devices, Joseph Galicinao

Master's Theses

Skin cancer is one of the most prevalent cancers worldwide, yet existing deep-learning models exhibit significant racial disparities because many widely used datasets are heavily skewed toward lighter skin tones. In addition, many approaches are not designed for deployment on resource-constrained devices, which limits accessibility. This work presents a comprehensive evaluation of classical machine learning and deep-learning based models for binary skin lesion classification, identifying the Swin-Tiny transformer architecture as the most effective backbone. To address bias, we curate a skin-tone balanced dataset, and introduce fairness-aware training through adversarial training, and joint distribution oversampling, to improve performance across protected attributes. …

Marine Heatwaves And Fish Reproduction: Endocrine Responses In The Eurythermal Sheepshead Minnow (Cyprinodon Variegatus), Isabel Villafuerte

Master's Theses

Marine heatwaves associated with climate change are increasing in frequency and severity, posing significant threats to fish populations in shallow habitats such as estuaries and salt marshes. Because temperature is a primary regulator of fish reproduction, understanding how heatwaves affect reproductive physiology is critical for anticipating the biological consequences of ongoing climate change for coastal fishes. Here we examined how simulated heatwave conditions affect the reproductive hypothalamic-pituitary-gonadal (HPG) endocrine axis in the estuarine sheepshead minnow (Cyprinodon variegatus), a eurythermal fish well suited to studying thermal stress responses in estuarine environments. Adult sheepshead minnows acclimated to a daily oscillating …

Trim-Transfer: A Transfer Learning Approach For Cross-Trim Level Can Intrusion Detection, Baylor J. Whitehead

Master's Theses

Modern vehicles contain many Electronic Control Units (ECUs) that communicate through CAN. While CAN enables efficient data communication, it lacks built in authentication and encryption, allowing adversarial actors to inject malicious CAN messages. This limitation has motivated the development of CAN intrusion detection systems (IDS). However, deploying IDS across a vehicle lineup requires collecting large labeled datasets and retraining models, increasing development cost and limiting scalability.

This thesis investigates the use of transfer learning with LSTM-based deep neural networks to reduce retraining cost while maintaining model detection performance. A baseline LSTM model is trained using CAN data from a base …

Exploring Regenerative Vegetable Systems On The Central Coast Of California, Una S. O'Connell

Master's Theses

As climate change and current agricultural practices place pressure on the long term sustainability and resilience of food production systems, there is growing interest in whether existing agricultural systems can adapt to maintain productivity while improving environmental outcomes.

This study evaluated the effects of regenerative versus standard organic vegetable production systems on yield, insect communities, and weed suppression across three field trials conducted on California's Central Coast. In addition, I collected baseline soil health data for all trials. Trials 1 and 2 were carried out at the Cal Poly San Luis Obispo Organic Farm using cabbage and broccoli as cash …

A Comparative Study Of Model Predictive Control And The Stanley Method For Vehicle Path Tracking Applications, Noah S. Fitzgerald

Master's Theses

This thesis compares a model predictive controller (MPC) and a lateral Stanley controller for vehicle path-tracking applications under simulation-based and perception-driven operating conditions. Both controllers were evaluated in simulation using a nonlinear dynamic bicycle model executing single and double lane change maneuvers. Following simulation-based evaluation, both controllers were implemented on hardware within a perception-driven steering-control pipeline. This pipeline utilized recorded sensor data from the MXcarkit 1/8^th-scale autonomous vehicle platform, incorporating lane instance segmentation and homography-based roadway estimation.

Under idealized simulation conditions, the MPC demonstrated improved trajectory-tracking performance during aggressive maneuvers while requiring greater steering activity and computational effort …

Analyzing A Hot Player: A Holistic Approach To The Hot Hand, Faran Igani

Master's Theses

This paper develops a continuous-time, continuous-state framework for studying “hot hand” performance within NBA games. Rather than defining performance in terms of discrete shot outcomes or short streaks of makes and misses, it tracks a player’s contribution using John Hollinger’s Game Score continuously throughout the game. The Game Score metric aggregates multiple on-court contributions through weighted in-game statistics, evolving as play progresses. This approach allows for the construction of a single metric that indexes a player’s performance over the course of the game. To evaluate whether observed within- game surges reflect genuine “heat” rather than random variation, a simulation-based null …

Constructing Orthonormal Bases With The Residuals Of Successive Approximations, An Introduction To Multiresolution Analysis, Elijah J. Guptill

Master's Theses

Wavelets and wavelet analysis are used in the study of signal processing, quantum field theory, functional analysis, multifractal analysis, and various other areas of mathematics. Multiresolution analysis provides a framework for building a wavelet basis of $\mathcal{L}^{2}(\mathbb{R})$ from a scaling function $\phi$, whose dyadic dilations and translations, $\{2^{j /2}\phi(2^{j}x-k):j,k\in \mathbb{Z}\}$, approximate $\mathcal{L}^{2}(\mathbb{R})$. One of the key properties of  $\phi$ is that it must satisfy $\phi(x)=\sum_{k\in \mathbb{Z}}{p_{k}2^{j /2}\phi(2^{j}x-k)}$ with respect to the norm on $\mathcal{L}^{2}(\mathbb{R})$. This equation is called a two-scale difference equation. Such equations enforce a regularity on the ordinary generating function $2^{-1 /2}\sum_{k\in \mathbb{Z}}{p_{k}z^{k}}$, known as the quadrature condition. …

What Makes A Modern Attention Implementation?, Brian H. Slonim

Master's Theses

Since the seminal assertion by Vaswani et al. in 2017 that “Attention Is All You Need,” transformer models have risen to ubiquity due to their ability to learn extremely complex patterns from sequence data, culminating in the unprecedented generative capabilities of large language models. These models’ strength lies in their scale: hundreds of millions (e.g., BERT-LARGE) to billions or trillions of learned parameters. Running inference with these models, let alone training them, would be intractable without significant innovations in the hardware and software that support them. This need has driven an enormous demand for GPU compute and associated software ecosystems, …

Is The Hot Hand Real? Evidence From A Permutation And Hierarchical-Based Analysis, Cameron Z. An

Master's Theses

The hot-hand phenomenon, often described as the tendency for individuals to experience prolonged streaks of success that exceed what would be expected under random performance, has been widely studied across many disciplines, particularly basketball. Early studies attempted to evaluate this effect through various techniques, often concluding that the hot-hand phenomenon was largely a myth. However, recent studies have begun to revisit previous analyses using improved statistical techniques, with some claiming evidence of a discernible hot-hand effect. This study examines the presence of the hot-hand effect in the modern NBA by testing whether observed shooting patterns deviate from those simulated under …